International Conference on Learning Representations
ICLR
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
31.7% (2024)
Fields of research
Machine Learning
Papers indexed
11,991
2017–2025
Papers per year
20173,704 peak2025
Most published authors
ICLR papers
11,991 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | Data-centric Prediction Explanation via Kernelized Stein Discrepancy. | Mahtab Sarvmaili, Hassan Sajjad, Ga Wu |
| 2025 | One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment. | Christina Sartzetaki, Gemma Roig, Cees G. M. Snoek, Iris I. A. Groen |
| 2025 | Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment. | Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan . Arik, Tomas Pfister |
| 2025 | Semantic Aware Representation Learning for Lifelong Learning. | Fahad Sarfraz, Elahe Arani, Bahram Zonooz |
| 2025 | Lines of Thought in Large Language Models. | Raphal Sarfati, Toni J. B. Liu, Nicolas Boull, Christopher J. Earls |
| 2025 | Deep Distributed Optimization for Large-Scale Quadratic Programming. | Augustinos D. Saravanos, Hunter Kuperman, Alex Oshin, Arshiya Taj Abdul, Vincent Pacelli, Evangelos A. Theodorou |
| 2025 | Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models. | Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Blanka Horvath, Frank Rudzicz |
| 2025 | Transformers Struggle to Learn to Search. | Abulhair Saparov, Srushti Ajay Pawar, Shreyas Pimpalgaonkar, Nitish Joshi, Richard Yuanzhe Pang, Vishakh Padmakumar, Mehran Kazemi, Najoung Kim, He He |
| 2025 | Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics. | Sebastian Sanokowski, Wilhelm Franz Berghammer, Haoyu Peter Wang, Martin Ennemoser, Sepp Hochreiter, Sebastian Lehner |
| 2025 | Linear SCM Identification in the Presence of Confounders and Gaussian Noise. | Vahideh Sanjaroonpouri, Pouria Ramazi |
| 2025 | Implicit Neural Surface Deformation with Explicit Velocity Fields. | Lu Sang, Zehranaz Canfes, Dongliang Cao, Florian Bernard, Daniel Cremers |
| 2025 | Towards Understanding the Universality of Transformers for Next-Token Prediction. | Michael Eli Sander, Gabriel Peyr |
| 2025 | Watermark Anything With Localized Messages. | Tom Sander, Pierre Fernandez, Alain Oliviero Durmus, Teddy Furon, Matthijs Douze |
| 2025 | Bayesian Analysis of Combinatorial Gaussian Process Bandits. | Jack Sandberg, Niklas kerblom, Morteza Haghir Chehreghani |
| 2025 | Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models. | Dvir Samuel, Barak Meiri, Haggai Maron, Yoad Tewel, Nir Darshan, Shai Avidan, Gal Chechik, Rami Ben-Ari |
| 2025 | Zero-Shot Natural Language Explanations. | Fawaz Sammani, Nikos Deligiannis |
| 2025 | Transformer Encoder Satisfiability: Complexity and Impact on Formal Reasoning. | Marco Slzer, Eric Alsmann, Martin Lange |
| 2025 | Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning. | Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato, Luigi Sabetta, Simone Calderara |
| 2025 | JPEG Inspired Deep Learning. | Ahmed H. Salamah, Kaixiang Zheng, Yiwen Liu, En-Hui Yang |
| 2025 | MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark. | S. Sakshi, Utkarsh Tyagi, Sonal Kumar, Ashish Seth, Ramaneswaran Selvakumar, Oriol Nieto, Ramani Duraiswami, Sreyan Ghosh, Dinesh Manocha |
| 2025 | Mitigating Memorization in Language Models. | Mansi Sakarvadia, Aswathy Ajith, Arham Mushtaq Khan, Nathaniel C. Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney |
| 2025 | Sketch2Diagram: Generating Vector Diagrams from Hand-Drawn Sketches. | Itsumi Saito, Haruto Yoshida, Keisuke Sakaguchi |
| 2025 | POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition. | Yuta Saito, Jihan Yao, Thorsten Joachims |
| 2025 | SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation. | Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji |
| 2025 | Recovering Manifold Structure Using Ollivier Ricci Curvature. | Tristan Luca Saidi, Abigail Hickok, Andrew J. Blumberg |
1,251–1,275 of 11,991← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICMLInternational Conference on Machine Learning
- AAISTATSInternational Conference on Artificial Intelligence and Statistics
- A*COLTConference on Learning Theory
- APPSNParallel Problem Solving from Nature
- AECML PKDDEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)
- A*NeurIPSAdvances in Neural Information Processing Systems (was NIPS)